Using AI to identify bacterial species from microscope images
Development and Evaluation of Rapid Bacterial Species Identification for Acid-Fast Bacilli Smear Using Image Analysis AI
GramEye · NCT06519032
This study is testing if artificial intelligence can help doctors quickly and accurately identify certain bacteria from microscope images in patients getting AFB smear tests.
Quick facts
| Study type | Observational |
|---|---|
| Enrollment | 10000 (estimated) |
| Sex | All |
| Sponsor | GramEye (industry) |
| Locations | 1 site (Suita, Osaka) |
| Trial ID | NCT06519032 on ClinicalTrials.gov |
What this trial studies
This observational study aims to develop artificial intelligence technology that can detect and classify Acid-Fast Bacilli (AFB) from microscope images of fixed glass slides. By analyzing these images, the study seeks to improve the speed and accuracy of bacterial species identification in patients undergoing AFB smear tests. The approach leverages advanced image analysis techniques to enhance diagnostic capabilities in clinical settings.
Who should consider this trial
Good fit: Ideal candidates for this study are patients who have had an AFB smear test ordered as part of their diagnostic evaluation.
Not a fit: Patients who have not undergone an AFB smear test will not benefit from this study.
Why it matters
Potential benefit: If successful, this study could significantly improve the rapid diagnosis of bacterial infections, leading to timely and appropriate treatment for patients.
How similar studies have performed: While the use of AI in medical imaging is a growing field, this specific application for AFB identification is relatively novel and has not been extensively tested in prior studies.
Eligibility criteria
Show full inclusion / exclusion criteria
Inclusion Criteria: * Patients in whom acid-fast bacilli(AFB) smear test was ordered Exclusion Criteria: * No exclusion criteria
Where this trial is running
Suita, Osaka
- Osaka University Hospital — Suita, Osaka, Japan (RECRUITING)
Study contacts
- Study coordinator: Tatsuya Yamada, M.D.
- Email: tatsuya.yamada@grameye.com
- Phone: 7028060149
How to participate
- Review the eligibility criteria above with your treating physician.
- Visit the official trial page on ClinicalTrials.gov for the most current contact information and recruitment status.
- Contact the listed study coordinator or principal investigator to request pre-screening. Pre-screening is free and never obligates you to enroll.
Conditions: Bacterial Infections